Triple
T18946868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itogon |
E463535
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Tuding
Tuding is a barangay (village-level administrative division) of the municipality of Itogon in the province of Benguet, Philippines.
|
E1351535
|
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: Tuding | Statement: [Itogon, hasBarangay, Tuding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuding Context triple: [Itogon, hasBarangay, Tuding]
-
A.
Langdarma
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
-
B.
Huangjian
Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
C.
Zejian
Zejian is the given name of Mao Zejian, a lesser-known member of the Mao family associated with Mao Zedong.
-
D.
Duryudana
Duryudana is the Javanese rendition of Duryodhana, the principal Kaurava antagonist from the Mahabharata, adapted into local wayang and literary traditions.
-
E.
Grindal
Grindal is an English surname most notably associated with Edmund Grindal, a 16th-century Archbishop of Canterbury and prominent figure in the Elizabethan Church.
- 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: Tuding Triple: [Itogon, hasBarangay, Tuding]
Generated description
Tuding is a barangay (village-level administrative division) of the municipality of Itogon in the province of Benguet, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuding Target entity description: Tuding is a barangay (village-level administrative division) of the municipality of Itogon in the province of Benguet, Philippines.
-
A.
Langdarma
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
-
B.
Huangjian
Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
C.
Zejian
Zejian is the given name of Mao Zejian, a lesser-known member of the Mao family associated with Mao Zedong.
-
D.
Duryudana
Duryudana is the Javanese rendition of Duryodhana, the principal Kaurava antagonist from the Mahabharata, adapted into local wayang and literary traditions.
-
E.
Grindal
Grindal is an English surname most notably associated with Edmund Grindal, a 16th-century Archbishop of Canterbury and prominent figure in the Elizabethan Church.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fcc18b48190b3cce80f996f0f16 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a42828bc819093b89d2007f246a9 |
completed | May 14, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a606d7ac819089c8db42bebb510e |
completed | May 14, 2026, 10:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.