Triple
T14029963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grassy Park |
E337560
|
entity |
| Predicate | nearbyWaterBody |
P1094
|
FINISHED |
| Object | Zeekoevlei |
E1074904
|
NE FINISHED |
How this triple was built (2 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: Zeekoevlei | Statement: [Grassy Park, nearbyWaterBody, Zeekoevlei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeekoevlei Context triple: [Grassy Park, nearbyWaterBody, Zeekoevlei]
-
A.
Zeekoevlei
chosen
Zeekoevlei is a large freshwater lake and nature reserve in Cape Town, South Africa, known for its rich birdlife and recreational activities.
-
B.
Kareedouw
Kareedouw is a small town in South Africa’s Eastern Cape, situated near the Tsitsikamma Mountains and serving as a rural service and farming community.
-
C.
Koosje
Koosje is a Dutch diminutive given name, commonly used as a familiar or affectionate form of the name Jacoba.
-
D.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
E.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb657ab348190ab51ec0e8caa2c4f |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.