Triple
T11689706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polonnaruwa |
E277835
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hatadage
Hatadage is an ancient stone relic shrine in the medieval Sri Lankan city of Polonnaruwa, built to house the Sacred Tooth Relic of the Buddha.
|
E942433
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hatadage | Statement: [Polonnaruwa, hasPart, Hatadage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatadage Context triple: [Polonnaruwa, hasPart, Hatadage]
-
A.
Hatagaya
Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
-
B.
Hatano
Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
-
C.
Hitakatsu
Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Hakutaka
Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hatadage Triple: [Polonnaruwa, hasPart, Hatadage]
Generated description
Hatadage is an ancient stone relic shrine in the medieval Sri Lankan city of Polonnaruwa, built to house the Sacred Tooth Relic of the Buddha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatadage Target entity description: Hatadage is an ancient stone relic shrine in the medieval Sri Lankan city of Polonnaruwa, built to house the Sacred Tooth Relic of the Buddha.
-
A.
Hatagaya
Hatagaya is a residential neighborhood in Tokyo known for its convenient access to central Shibuya and its mix of quiet local streets and urban amenities.
-
B.
Hatano
Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
-
C.
Hitakatsu
Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Hakutaka
Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef831d27248190894ffdb12c1ddd4d |
completed | April 27, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_69ef96b0169081909ad5c5d40a006e64 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb4dad6a481909a54511b6233993b |
completed | April 27, 2026, 7:11 p.m. |
Created at: April 8, 2026, 9:40 p.m.