Triple
T12134963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamboanga del Norte |
E289032
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Liloy
Liloy is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for agriculture, fishing, and its role as a local commercial center.
|
E966442
|
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: Liloy | Statement: [Zamboanga del Norte, hasMunicipality, Liloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liloy Context triple: [Zamboanga del Norte, hasMunicipality, Liloy]
-
A.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
-
B.
Lyolik
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Luli
Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
-
E.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
- 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: Liloy Triple: [Zamboanga del Norte, hasMunicipality, Liloy]
Generated description
Liloy is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for agriculture, fishing, and its role as a local commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liloy Target entity description: Liloy is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for agriculture, fishing, and its role as a local commercial center.
-
A.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
-
B.
Lyolik
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Luli
Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
-
E.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68eab98819086a480a90312c3fe |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.